1068 Scikitlearn Jobs - Page 3

As a hands-on engineer, you will be responsible for developing new features and fixing bugs for an internal machine learning model that identifies errors in vehicle telematics. You will work in an Agile scrum team, focusing on different modules or subsystems of the test framework. **Key Responsibilities:** - Utilize expert knowledge in Python and popular machine learning libraries like TensorFlow, Keras, and scikit-learn. - Apply clustering algorithms (e.g., K-means, hierarchical clustering) for grouping similar data points. - Demonstrate expertise in classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition, natural languag...

You will be joining GlobalLogic to work on a significant software project for a world-class company specializing in M2M / IoT 4G/5G modules for industries like automotive, healthcare, and logistics. Your role will involve contributing to the development of end-user modules" firmware, implementing new features, ensuring compatibility with the latest telecommunication and industry standards, and analyzing customer requirements to provide estimations. - Design end-to-end AI/ML architecture and solutions in alignment with business objectives - Lead the development and deployment of ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn - Architect scalable data pipelines for traini...

As a Senior Engineering Manager, Machine Learning at Adobe, your role involves leading a high-impact team dedicated to building and deploying brand-new ML solutions. You will guide the team through the full lifecycle of machine learning projects, collaborate with various teams to innovate custom products, and contribute to the ML strategy on the Genuine Engineering team. **Key Responsibilities:** - Lead, mentor, and grow a team of ML engineers to develop and deploy pioneering ML models. - Own the end-to-end execution of ML projects, from research and prototyping to production deployment. - Collaborate with product teams to identify AI/ML opportunities and define technical roadmaps. - Ensure ...

As a Mid-Level AI/ML Engineer at our company, you will be responsible for developing and optimizing AI solutions for our cutting-edge products. You will collaborate closely with senior engineers and data scientists to build models, deploy AI pipelines, and ensure scalable solutions. Key Responsibilities: - Develop & Tune ML Models using TensorFlow, PyTorch, and Scikit-learn. - Deploy & Optimize Models with FastAPI and cloud-native tools. - Manage ML Pipelines using Kubernetes, Terraform, and Podman. - Build AI Applications focusing on NLP, CV, and predictive analytics. - Collaborate on Data preprocessing and management. - Implement Security measures such as IAM, Vault, and TLS/SSH. - Researc...

Role Overview: As a back-end engineer at Google, you will be utilizing your expertise in Machine Learning to combat abuse and ensure user safety. Your role will involve collaborating with domain expert analysts to set up data pipelines, develop machine learning models, and enhance automated review and detection systems. You will also work on integrating online/offline systems with various Google platforms to gather signals, features, and verdicts. Additionally, you will lead projects across different teams within the organization, providing guidance on solutions and execution. Key Responsibilities: - Utilize Machine Learning knowledge to combat abuse and enhance user safety. - Perform integr...

As an AI Trainer at Shivacha Technologies Pvt. Ltd., you will play a crucial role in training and optimizing AI models for various applications. Your responsibilities will include training AI models using frameworks like TensorFlow, PyTorch, and Keras, managing data collection and cleaning, evaluating model performance, collaborating with cross-functional teams, providing client support and training, and maintaining detailed documentation of training procedures and results. Key Responsibilities: - Train and optimize machine learning models using TensorFlow, PyTorch, and Keras. - Assist in data collection, cleaning, and feature engineering. - Analyze model performance, identify improvements, ...

As an experienced Python -LLM and GenAI Engineer, you will play a crucial role in the development and optimization of cutting-edge generative AI solutions within the financial sector. Your responsibilities will include: - Prompt Engineering: Design, test, and refine advanced prompts to optimize performance for Large Language Models (LLMs) and Generative AI applications. - Model Development: Develop, train, and fine-tune deep learning models using machine learning and deep learning frameworks. - Integration: Build robust APIs and integrate LLMs and generative AI models into enterprise applications and platforms. - Python Development: Develop and optimize Python scripts and libraries to suppor...

As an AI Technical Lead at our company, you will be leading the development and deployment of cutting-edge AI solutions in the EdTech domain. Your role involves designing, training, and deploying AI models for various use cases such as computer vision, NLP, and generative AI. You will optimize AI models for performance and scalability using core algorithms and develop open-source LLMs tailored to specific domains. Additionally, you will integrate AI solutions with Vector/Graph databases, manage MLOps/LLMOps pipelines, mentor junior engineers, and collaborate with cross-functional teams to align AI strategies with business goals. Key Responsibilities: - Design, train, and deploy AI models for...

You will be joining DataWeave, a leading provider of advanced sales optimization solutions for Digital Commerce businesses, consumer brands, delivery intermediaries, and marketplaces. The company's machine learning-enabled SaaS platform offers over 400 global brands and retailers streamlined access to Digital Shelf Analytics and Dynamic Pricing solutions. By leveraging actionable, Digital Market Intelligence generated through data analysis on over 100 million products daily, DataWeave empowers businesses to develop data-driven growth strategies and make high-frequency business decisions that drive revenue growth and profitability. In your role at DataWeave, you will be part of the Semantics ...

As a member of Yellow.ai, you will be applying machine learning, NLP, and deep learning methods to unstructured data sets and complex systems. Your responsibilities will include conducting individual and collaborative R&D initiatives centred around NLU and LLMs, researching and evaluating groundbreaking approaches to NLU and LLM-related problems, developing new algorithms for optimizing existing LLM, investigating and solving challenging machine learning problems, and providing technical leadership and mentorship to mid/junior level team members. - Apply machine learning, NLP, and deep learning methods to unstructured data sets and complex systems. - Conduct individual and collaborative R&D ...

As a Machine Learning Intern at Ray IoT Solutions Pvt Ltd, you will have the opportunity to work closely with experienced data science and engineering teams to develop, implement, and optimize machine learning models that enhance IoT products and solutions. **Key Responsibilities:** - Assist in the research related to ongoing projects and optimize codes and models as per requirements. - Work on AI/ML models based on project needs. - Help in conducting research related to current projects. - Engage in data cleaning and processing tasks. **Qualifications Required:** - Currently pursuing or recently completed a degree in Computer Science, Data Science, Machine Learning, or a related field. - St...

Role Overview: As a Data & Analytics Chapter Lead at KONE, you will provide technical leadership to data scientists and data engineers. Your main responsibility will be to foster skill development and best practices within the team. You will collaborate closely with business, product, and engineering teams to identify challenges and design scalable AI/ML solutions. Developing, optimizing, and deploying analytics models enabling predictive maintenance and intelligent insights will be a key focus. It will also be crucial to productionize analytical solutions, ensuring robustness, scalability, and efficiency in a cloud environment. Leveraging IoT data for driving improvements in predictive anal...

Role Overview: As a Machine Learning Engineer with 5+ years of experience, your primary role will be to design, build, and deploy scalable machine learning models and pipelines. You will work closely with data scientists and engineers to transition ML models from experimentation to production. Your responsibilities will include developing and maintaining infrastructure for model training, deployment, monitoring, and retraining using CI/CD for ML. It will be crucial for you to implement model versioning, reproducibility, and A/B testing strategies. Key Responsibilities: - Design, build, and deploy scalable machine learning models and pipelines. - Collaborate with data scientists and engineers...

Role Overview: At Goldman Sachs, engineers play a crucial role in making things possible and connecting people and capital with ideas. As a part of the Client Onboarding Engineering team, you will be focused on various key activities involving onboarding clients of Goldman Sachs faster and better. Your role will involve delivering projects related to process workflow for KYC Due Diligence (AML), Regulatory & Product Due Diligence, Client outreaches, client account opening services, and Client Lifecycle Management platform. You will work on building strategic platforms for onboarding clients through proactive management of the end-to-end onboarding process, including document and data digitiz...

As a Deep Learning Engineer for medical image analysis, your role will involve developing and optimizing deep learning models for tasks such as segmentation, classification, and object detection. You will also be responsible for preprocessing and cleaning medical imaging datasets to improve AI model performance. Additionally, conducting model evaluation, error analysis, and performance benchmarking will be crucial to enhance accuracy and generalization. Collaboration with radiologists and domain experts is essential to refine AI model outputs for clinical relevance. Key Responsibilities: - Develop and optimize deep learning models for medical image analysis, including segmentation, classific...

As a Senior Technology Specialist (IT) at our company, you will be utilizing your in-depth knowledge, experience, and best practices in the technology field to solve complex technical problems independently. Our company has a rich history of innovation and partnership across the energy value chain, driving the energy transition with some of the brightest minds globally. Key Responsibilities: - Perform product development from idea to prototype and deployment - Apply knowledge to a wide range of situations - Manage time effectively to meet deadlines and budgets - Communicate complex issues clearly - Direct small or medium Engineering team as a Product Lead Engineer - Lead and complete assigne...

Role Overview: Hey champ! Are you ready to experiment, learn, and implement Join us on a new adventure where your deep expertise in Natural Language Processing (NLP) can change the dynamics of our organization and revolutionize the paradigm. OptiSol is your destination for a stress-free, balanced lifestyle, where career growth is nurtured with open communication and accessible leadership. As a certified GREAT PLACE TO WORK for 4 consecutive years, we celebrate diversity and promote work-life balance with flexible policies. Key Responsibilities: - Guide and support a team of AI engineers, fostering collaboration and innovation. - Lead NLP and GenAI projects to build cutting-edge AI solutions....

As an AI/ML Developer with 2-6 years of experience, your role will involve the following key responsibilities: - Utilize your strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. - Apply hands-on experience in deep learning, NLP, and computer vision to develop AI/ML models. - Demonstrate expertise in handling large datasets and implementing data pre-processing techniques. - Deploy ML models on cloud platforms such as AWS Sage maker, Azure ML, and GCP AI. - Utilize your strong knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. - Work with database technologies (SQL, NoSQL) and big data frameworks (Spa...

As a Data Science Lead at the company, your role involves staying updated on developments in the field and contributing to the strategic direction by applying them to your job and the business. You are a recognized technical authority within the business, impacting the area through complex deliverables. Your work has a significant influence on the overall performance and effectiveness of the sub-function/job family. Key Responsibilities: - Conduct strategic data analysis, identify insights, and make strategic recommendations. Develop data displays to clearly communicate complex analysis. - Mine and analyze data from various banking platforms to optimize and improve data quality. - Deliver an...

Role Overview: You will be joining as an AI Intern (Developer) for a 6-month internship, where you will have the opportunity to work on real-world AI solutions in the fintech and insurance sectors. Your main focus will be on developing machine learning models, data cleaning, analysis, and collaborating with data engineers and domain experts to deploy AI models. Additionally, you will be responsible for researching industry trends in AI, documenting experiments, conducting testing, troubleshooting technical issues, and guiding the development team effectively. Key Responsibilities: - Assist in developing machine learning models for various use cases. - Perform data cleaning, analysis, and fea...

As a Senior Data Scientist at FIS Global, you will be part of the FIS Compliance Suite (formerly Protegent) next-generation product development initiative. Your role will involve collaborating with a team of highly motivated developers to create the next generation compliance product. You will play a key role in extracting actionable insights from complex datasets and developing predictive models to support business objectives. Your expertise in statistical analysis, machine learning, and data visualization will be leveraged to solve challenging problems and drive strategic initiatives. You will devise and utilize algorithms and models to mine big-data stores, perform data and error analysis...

As a highly skilled Data Scientist specializing in AI agents, generative AI, and knowledge engineering, you will be responsible for enhancing AI-driven cloud governance solutions at our company. Your role will involve advancing multi-agent systems, leveraging LLMs, and integrating knowledge graphs (OWL ontologies) in a Python environment. Your contributions will directly impact FinOps, SecOps, CloudOps, and DevOps by providing scalable, AI-enhanced decision-making, workflows, and monitoring. **Key Responsibilities:** - Design, develop, and optimize LLM-based multi-agent systems for cloud governance. - Implement agent collaboration using frameworks like LangChain, AutoGen, or open-source MAS ...

Role Overview: You will be responsible for developing production-grade Machine learning inference and model training lifecycle. This includes working on various projects as a Machine Learning Engineer, Data Engineer, or Data Scientist. You will need to have a strong experience in Python programming language, PyTorch or Tensorflow, as well as NLP and/or CV models. Additionally, you should be proficient in using libraries such as numpy, pandas, opencv, spacy, nltk, and scikit-learn. Experience with generative models like GPT and prompt engineering will be essential. Your role will also require you to have intermediate or higher proficiency in the English language. This is a full-time position ...

As an individual interested in Python development and AI/ML technologies, you will play a crucial role in the following responsibilities: - Understand and analyze technical requirements - Assist in developing AI models, algorithms, and solutions - Collaborate with senior developers and data scientists on projects - Contribute to end-to-end software development processes - Participate in code reviews and testing to ensure quality and functionality - Help with deployment and integration of Python-based applications and AI models Key Skills required for this role include: - Strong knowledge of Python (preferably with frameworks like Flask, Django) - Familiarity with AI concepts such as Machine ...

As a Junior AI/ML Python Developer at Geek Web Solution, you will be part of an innovative team that focuses on AI & ML solutions. Your passion for Artificial Intelligence and Machine Learning will drive you to learn, explore, and grow in this field. Here are the details of your role and qualifications required: Role Overview: - Assist in developing, training, and testing AI/ML models. - Support in data collection, cleaning, preprocessing, and analysis. - Write and maintain Python scripts for ML tasks. - Work on tasks related to supervised & unsupervised learning, classification, regression, and clustering. - Collaborate with senior developers and project managers to deliver real-world AI/ML...